Probability vectors sampled from an entropy dependent distribution
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The file contains samples of probability vectors with 500 components. Each sample q was drawn from a distribution p(q) ∝ exp(β H(q)), where H(q) is the Shannon entropy of the probability vector. The samples were drawn using an adaptive Hamiltonian Monte Carlo (HMC) algorithm implemented in STAN.
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Zenodo创建时间:
2026-05-09



